Аrtificial intelligence tools for managing the behavior of economic agents in marketing activities

Keywords: artificial intelligence, marketing activity, enterprise

Abstract

The relevance of the use of artificial intelligence tools for managing the behavior of economic agents in marketing activities is substantiated. The subject of research in the article is artificial intelligence tools for managing the behavior of economic agents in marketing activities. The goal of the article is to study the possibilities of artificial intelligence tools for managing the behavior of economic agents in marketing activities. Objective: to identify the object and subject of management when using marketing tools of artificial intelligence, schematically display their relationships and group similar tools, for further description of their capabilities, advantages and disadvantages with the aim of using them in the marketing activities of enterprises. General scientific methods are used: system analysis - to determine the features of artificial intelligence tools for managing the behavior of economic agents in marketing activities, structural (functional) analysis - to identify the main functions of artificial intelligence tools for managing the behavior of economic agents in marketing activities. The results were obtained: the grouped artificial intelligence tools for managing the behavior of economic agents in marketing activities are presented, and the interaction schemes of objects and management subjects of each group of tools are presented. Conclusions: the use of artificial intelligence tools to manage the behavior of economic agents in marketing activities will allow enterprises to get more profit due to an increase in the number of goods sold, and customers to spend money on meeting relevant needs.

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Published
2022-08-01
Cited
How to Cite
Yana Shumilo. (2022). Аrtificial intelligence tools for managing the behavior of economic agents in marketing activities. The Journal of V. N. Karazin Kharkiv National University. Series: International Relations. Economics. Country Studies. Tourism, (15), 60-66. https://doi.org/10.26565/2310-9513-2022-15-07